60 research outputs found

    Machine Learning-based Linear regression way to deal with making data science model for checking the sufficiency of night curfew in Maharashtra, India

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    The birthplace of the novel Covid-19 sickness or COVID-19 began its spread around Wuhan city, China. The spread of this novel infection sickness began toward the start of December 2019. The Covid-19 illness spreads from one individual to another through hacking, sniffling, etc. To stop the spreading of the novel Covid-19 infection the distinctive nation has presented diverse strategies. Some regularly utilized methods are lockdown, night curfew, etc. The fundamental intention of the systems was to stop the social events and leaving homes without serious issues. Utilizing a diverse system Covid-19 first stage can address for saving individuals. Presently the second influx of this novel Covid illness has begun its top from the mid of April-May. The second convergence of this novel Covid disorder flooded all through the world and in India too. To stop the spread of this novel Covid sickness India's richest state Maharashtra government constrained the decision of night curfew. In this paper, we are taking as a relevant examination the night curfew on a schedule of Maharashtra. Here, we study that this system may or may not be able to stop the spread of pandemics. We are using the Machine learning(ML) approach to managing regulate study this case. ML has various systems yet among all of those here we use Linear Regression for the current circumstance. The reproduced insight that readies the plan orchestrated to learn with no other person. Linear Regression is the affirmed strategy for looking over the connection between two sections. Between the two segments, one is astute and another is a seen variable

    Evolving Trends in Orthodontics: Clear Aligner Therapy, Bio-mechanical Principles, and Custom Attachments

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    Orthodontic treatment has evolved significantly in recent years, with a growing emphasis on meeting patients' aesthetic demands. Using a series of custom-made plastic aligners, clear aligner therapy has gained popularity for treating mild to moderate malocclusions. This article traces the history of clear aligners, from their initial concept in the 1940s to the advent of computer-aided design (CAD) and 3D printing in the 1990s, exemplified by Align Technology's Invisalign system. While clear aligners offer advantages but have limitations, including their suitability for complex cases, patient compliance requirements, and cost considerations. The bio mechanical principles underlying clear aligner therapy are explored, focusing on two mechanisms: shape moulding, where aligners gradually adjust tooth positions, and using auxiliary elements to improve forecast accuracy. Custom attachments have emerged as a promising innovation to optimize tooth movements, approaching the precision achieved with traditional fixed appliance

    A water soluble Ni-Schiff base complex for homogeneous green catalytic C S cross-coupling reactions

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    Since the embarkation of C – S cross-coupling from aryl halides with thiols a handful of works have been contemplated in aqueous medium. Herein, we report an example of a water soluble Ni-Schiff base complex as the green catalyst for the synthesis of thioethers. We have synthesized a Ni-Schiff base complex [NiL(H2O)2 ](ClO4)2 using N 4 -donor Schiff base ligand (1,3-bis(((E)-pyridin-2-ylmethylene)amino)propan-2-ol) and characterized by single crystal X-ray diffraction (SC-XRD) study along with different spectral analyses. The complex is mono-nuclear and cationic in nature having two perchlorate anions. Two water molecules remain coordinated with the Ni(II)-centre. The hydrogen bonding interaction through coordinated water and perchlorate anions connect the monomeric units to form 2D supramolecular structure. Based on its aqueous solubility, the complex has been used for the catalytic C – S cross-coupling reaction between aryl iodide and aryl or alkyl thiols using TBAB at 60 ◦ C in aqueous media (yield 92%). At room temperature, an isolated yield of 57% can be achieved. This environmentally benign protocol is paramount in view of the environmental sustainability

    Comparative evaluation of facial parameters and symmetry - A hospital based study in Bhubaneswar

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    The study focuses on measuring various facial parameters and their relationships in individuals seeking orthodontic care. Materials and methods: The researchers conducted a study in Bhubaneswar, India, involving 102 subjects (47 males and 55 females) aged 20 to 45 years. They used descriptive and statistical analyses to examine measurements such as distances between inner canthi of eyes, eye widths, interpupillary line width, and nasal width. Result: The study revealed sexual dimorphism in some measurements, indicating differences between males and females. The distance between inner canthus of eye (p-value - 0.0528 ) showed that males have larger width compared to females, width of left eye ( p-value - 0.0055 ) and width of right eye ( p-value - 0.0706 ) showed that males have wider eyes than females. Inter pupillary line width (p-value 0.0046 ) indicates that males have larger pupil gap compared to females. Nasal width (p-value 0.0766 ) indicates wider nose in males compared to females. The research is conducted on a sample of residents from Bhubaneswar, India, within a specific age range, and includes measurements related to eye width, nasal width, and interpupillary line width. Clinical significance: The abstract also references previous studies and their findings in the field of orthodontics, including discussions about the impact of orthodontic tooth movement on the soft tissue profile and the need for further research to comprehensively understand facial form. Conclusion: The abstract concludes by emphasizing the importance of facial esthetics in orthodontic treatment and the need for more studies to investigate angular and facial features

    Three new hydrochlorothiazide cocrystals: Structural analyses and solubility studies

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    YesHydrochlorothiazide (HCT) is a diuretic BCS class IV drug with poor aqueous solubility and low permeability leading to poor oral absorption. The present work explores the cocrystallization technique to enhance the aqueous solubility of HCT. Three new cocrystals of HCT with water soluble coformers phenazine (PHEN), 4-dimethylaminopyridine (DMAP) and picolinamide (PICA) were prepared successfully by solution crystallization method and characterized by single crystal X-ray diffraction (SCXRD), powder X-ray diffraction (PXRD), fourier transform –infraredspectroscopy (FT-IR), differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA). Structural characterization revealed that the cocrystals with PHEN, DMAP and PICA exists in P21/n, P21/c and P21/n space groups, respectively. The improved solubility of HCT-DMAP (4 fold) and HCT-PHEN (1.4 fold) cocrystals whereas decreased solubility of HCT-PICA (0.5 fold) as compared to the free drug were determined after 4 h in phosphate buffer, pH 7.4, at 25 °C by using shaking flask method. HCT-DMAP showed a significant increase in solubility than all previously reported cocrystals of HCT suggest the role of a coformer. The study demonstrates that the selection of coformer could have pronounced impact on the physicochemical properties of HCT and cocrystallization can be a promising approach to improve aqueous solubility of drugs
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